Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: New-onset diabetes represent a high-risk cohort to screen for pancreatic cancer.
BACKGROUND AND AIMS: Machine learning (ML) algorithms are widely applied in building models of medic...
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) affects approximately 2...
BACKGROUND: An artificial intelligence-based algorithm we developed, mrAI, satisfactorily segmented ...
Acetyl-coenzyme A carboxylase (ACC) and diacylglycerol acyltransferase 2 (DGAT2) are recognized as p...
Non-pancreatic periampullary tumors have long been neglected, leading to blurred adjuvant treatment ...
Sarcopenia, a prevalent comorbidity of inflammatory bowel disease (IBD), is characterized by diminis...
BACKGROUND: Survival prognosis of patients with gastric cancer (GC) often influences physicians' cho...
Colorectal liver metastasis (CRLM) is challenging in the clinical treatment of colorectal cancer. Li...
Kidney stones are common and morbid conditions in the general population with a rising incidence gl...
BACKGROUND: Artificial intelligence (AI) has the potential to enhance surgical practice by predictin...
We propose a shape prior representation-constrained multi-scale features fusion segmentation network...
Gastric cancer remains a significant global health concern, with a notably high incidence in East As...
This study investigates the altered expression and CpG methylation patterns of histone demethylase ...
OBJECTIVES: To establish and validate a non-invasive deep learning (DL) model based on contrast-enha...
BACKGROUND: Artificial intelligence (AI) using deep learning systems has recently been utilized in v...
INTRODUCTION: Stool characteristics may change depending on the endoscopic activity of ulcerative co...
Accurate assessment of future liver remnant growth after partial hepatectomy (PH) in patients with d...
PURPOSE: The purpose of the 2023 SFR data challenge was to invite researchers to develop artificial ...
In the process of screening for probiotic strains, there are no clearly established bacterial phenot...
Medical image segmentation is crucial for healthcare, yet convolution-based methods like U-Net face ...